Transaction
ID: 4499c3abc3...ca4c
Inputs (5)
Spent
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
21,000.00
Spent
Address:
Output transaction:
Settlement height:
Value:
0.721986325 ERG
Tokens:
Loading assets...
Spent
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
3,000
Spent
Output transaction:
Settlement height:
Value:
0.001984285 ERG
Tokens:
163.04
3,000
Spent
Output transaction:
Settlement height:
Value:
0.001982631 ERG
Tokens:
1
3,000
Outputs (5)
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
27,000.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.721953241 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
166.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 362,651
Total coins transferred: 0.729953241 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000091 ERG
Raw Transaction Data
{
"id": "4499c3abc35d6cb9c33289585905e5f3dbcf778ec0307105bbedfd272e78ca4c",
"blockId": "65590ad272178e6a46eb4fc3efcedf1cd2cfa6823111b44e5b3742b8113cd4fc",
"inclusionHeight": 1394237,
"timestamp": 1731430969122,
"index": 22,
"globalIndex": 8045339,
"numConfirmations": 362651,
"inputs": [
{
"boxId": "e46e7f7c36764e6b082c9dddf6c1bdb342f2716b02a8b3fd97343f7ba938b4b2",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f17913cd903f87c6151ae4f3132ad6610a73b928a7ac07936f8f5402e57082e2",
"outputTransactionId": "4d7fa6f0b265b9f23b9998961e8f7d46c9fcdd200312e4777be1ea2858d92243",
"outputIndex": 0,
"outputGlobalIndex": 43827146,
"outputCreatedAt": 1393780,
"outputSettledAt": 1393783,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 21000001,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "055a071ab057ae4450fee5ca4c9b839fb366af69debf8b985e90fb31ec47e3bb",
"value": 721986325,
"index": 1,
"spendingProof": "2d9f579a3358b2dbf07214aa1d4458738a00856ace2e7953484b8de4cf97fd380915bd30da8b56137e211dca8d34ea50244bcbec5c866bde",
"outputBlockId": "f17913cd903f87c6151ae4f3132ad6610a73b928a7ac07936f8f5402e57082e2",
"outputTransactionId": "4d7fa6f0b265b9f23b9998961e8f7d46c9fcdd200312e4777be1ea2858d92243",
"outputIndex": 2,
"outputGlobalIndex": 43827148,
"outputCreatedAt": 1393780,
"outputSettledAt": 1393783,
"ergoTree": "0008cd03d360615c64caea0fc255d81ce323f3bcbf9bffc995d250b3845d4515063f044a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d36061,229e2e,...)))}",
"address": "9i4u27kUC2fpg8y9FMJnkPHxHivA9yz3Da7SZd7DdooQkLVGC1Y",
"assets": [
{
"tokenId": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"index": 0,
"amount": 3,
"name": "WID-65d5d-kLVGC1Y",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "12ea9eb11372eb1512b9c5942997a585b15ba1eb4bc1ca203098172f52c01f4c",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "f17913cd903f87c6151ae4f3132ad6610a73b928a7ac07936f8f5402e57082e2",
"outputTransactionId": "93f5bcdf0ccd4c44a9390922d05f0d5a749cd5d1e5d370635bfac2b4b976d234",
"outputIndex": 15,
"outputGlobalIndex": 43827287,
"outputCreatedAt": 1393781,
"outputSettledAt": 1393783,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 1467,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
}
}
},
{
"boxId": "fda81c7ac196016e09b5bea99fc7c176572a0ec30e83bee69872f7e6d3a6fdd0",
"value": 1984285,
"index": 3,
"spendingProof": null,
"outputBlockId": "8e1278c81a937d2e0325ae9ece9f127d343d44f0e358bf992e33fd819b11920b",
"outputTransactionId": "d176db8533dbd4002dddac753363a5f94a8b0afd2a38b8269bbf1be03dd11af8",
"outputIndex": 26,
"outputGlobalIndex": 43827718,
"outputCreatedAt": 1393713,
"outputSettledAt": 1393793,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 163042,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
}
}
},
{
"boxId": "2b5017859a721319775936e38a9450c9101ea8d1c6b9de5f9241bb630653a731",
"value": 1982631,
"index": 4,
"spendingProof": null,
"outputBlockId": "5dcce8f2c0b67816a6006d3b26f18ddd475aa499e7379c3fadd75b351440bd91",
"outputTransactionId": "857f44792f3e54522d570663841160b7852d38f69db2277168ea6fc1dbab857d",
"outputIndex": 43,
"outputGlobalIndex": 43828326,
"outputCreatedAt": 1393813,
"outputSettledAt": 1393815,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 1493,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "4ec1fff0162de5af80388d7a99b9de491f292be62db8d9907a3ee07d73691e3b",
"transactionId": "4499c3abc35d6cb9c33289585905e5f3dbcf778ec0307105bbedfd272e78ca4c",
"blockId": "65590ad272178e6a46eb4fc3efcedf1cd2cfa6823111b44e5b3742b8113cd4fc",
"value": 2000000,
"index": 0,
"globalIndex": 43840043,
"creationHeight": 1394235,
"settlementHeight": 1394237,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 27000001,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "b17c91d0d85c3ca1041b70c1d5d964d29557f45faf40fe912814a62c393dcf6b",
"mainChain": true
},
{
"boxId": "7913eeb86e5b98e443c854bd0dee55ab608605d5d52580c1da7ad2b0269febb9",
"transactionId": "4499c3abc35d6cb9c33289585905e5f3dbcf778ec0307105bbedfd272e78ca4c",
"blockId": "65590ad272178e6a46eb4fc3efcedf1cd2cfa6823111b44e5b3742b8113cd4fc",
"value": 2000000,
"index": 1,
"globalIndex": 43840044,
"creationHeight": 1394235,
"settlementHeight": 1394237,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
},
"R5": {
"serializedValue": "0e20537cc37c66ba11a27e66656f7cd1070fb299712bd99c6058c2bf2540ed8680c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "537cc37c66ba11a27e66656f7cd1070fb299712bd99c6058c2bf2540ed8680c2"
},
"R6": {
"serializedValue": "0e208072e0e5f72c33804ee6fb3a6e15154f798afb5ecfb9f1de62347ac193067df9",
"sigmaType": "Coll[SByte]",
"renderedValue": "8072e0e5f72c33804ee6fb3a6e15154f798afb5ecfb9f1de62347ac193067df9"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
},
"spentTransactionId": "1efbc7423f5515a3e1710e269ea73c997f32a21acd18d3f8768387996fa6b0f0",
"mainChain": true
},
{
"boxId": "fef3ce78b625061337227473f79e2e5adaaee79858d2c5e43928eaeca4ffac60",
"transactionId": "4499c3abc35d6cb9c33289585905e5f3dbcf778ec0307105bbedfd272e78ca4c",
"blockId": "65590ad272178e6a46eb4fc3efcedf1cd2cfa6823111b44e5b3742b8113cd4fc",
"value": 721953241,
"index": 2,
"globalIndex": 43840045,
"creationHeight": 1394235,
"settlementHeight": 1394237,
"ergoTree": "0008cd03d360615c64caea0fc255d81ce323f3bcbf9bffc995d250b3845d4515063f044a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d36061,229e2e,...)))}",
"address": "9i4u27kUC2fpg8y9FMJnkPHxHivA9yz3Da7SZd7DdooQkLVGC1Y",
"assets": [
{
"tokenId": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"index": 0,
"amount": 3,
"name": "WID-65d5d-kLVGC1Y",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b17c91d0d85c3ca1041b70c1d5d964d29557f45faf40fe912814a62c393dcf6b",
"mainChain": true
},
{
"boxId": "e1d5f04b85cfeb6f728babea33433fb09febb8465a8ff30461aeee2e43f417c9",
"transactionId": "4499c3abc35d6cb9c33289585905e5f3dbcf778ec0307105bbedfd272e78ca4c",
"blockId": "65590ad272178e6a46eb4fc3efcedf1cd2cfa6823111b44e5b3742b8113cd4fc",
"value": 2000000,
"index": 3,
"globalIndex": 43840046,
"creationHeight": 1394235,
"settlementHeight": 1394237,
"ergoTree": "0008cd03d360615c64caea0fc255d81ce323f3bcbf9bffc995d250b3845d4515063f044a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d36061,229e2e,...)))}",
"address": "9i4u27kUC2fpg8y9FMJnkPHxHivA9yz3Da7SZd7DdooQkLVGC1Y",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 166002,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "eed08cc4fefafec252cb8f2230790f778e19d1230da45395a9497123004b910e",
"mainChain": true
},
{
"boxId": "9e6b27a32d6d157d01166650c0cf77312d619a40574d453f4804be8d11686c44",
"transactionId": "4499c3abc35d6cb9c33289585905e5f3dbcf778ec0307105bbedfd272e78ca4c",
"blockId": "65590ad272178e6a46eb4fc3efcedf1cd2cfa6823111b44e5b3742b8113cd4fc",
"value": 2000000,
"index": 4,
"globalIndex": 43840047,
"creationHeight": 1394235,
"settlementHeight": 1394237,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "4836bfcbef41aa138a3ad6871deccbca54c1dd91d7a3e9e0d03997efabbce699",
"mainChain": true
}
],
"size": 2198,
"isUnconfirmed": false
}